DocumentCode :
409851
Title :
A new DCT-based just-noticeable distortion estimator for images
Author :
Zhang, X.H. ; Lin, W.S. ; Xue, P.
Author_Institution :
Sch. of EEE, Nanyang Technol. Univ., Singapore
Volume :
1
fYear :
2003
fDate :
15-18 Dec. 2003
Firstpage :
287
Abstract :
Just-noticeable distortion (JND) based on human visual characteristics provides a good means to reflect the tolerance of image distortion with respect to human observers, for both data compression and quality measurement. In this paper, various existing JND models are surveyed and the typical models are benchmarked based on a uniform criterion. A new model is then developed and tested for different types of images. Experiments and the associated subjective tests show the improved performance of the proposed scheme over the existing models for luminance adaptation (especially in dark regions) and masking effect in edge regions.
Keywords :
data compression; discrete cosine transforms; distortion; image coding; data compression; discrete cosine transforms; human visual characteristics; image distortion; just-noticeable distortion estimator; quality measurement; Adaptation model; Benchmark testing; Data compression; Discrete cosine transforms; Distortion measurement; Frequency; Humans; Psychology; Video compression; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on
Print_ISBN :
0-7803-8185-8
Type :
conf
DOI :
10.1109/ICICS.2003.1292461
Filename :
1292461
Link To Document :
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